5 Aop Planning Jobs

Key Responsibilities: Analyze large volumes of real-time operational data to derive meaningful insights for business decision-making. Build data models to analyze key performance indicators (KPIs) such as productivity, utilization, and fill rates. Prepare targets based on scheduling, demand, and forecast analysis at the unit level with micro-level details. Provide day-level analysis of various KPIs at city and client levels, tracking plan vs. actual performance daily, identifying variance root causes, and offering recommendations. Develop quick dashboards based on ad hoc requirements using Google Sheets, Power BI, or Tableau Prepare monthly operating plans in collaboration with city heads. Work closely with cross-functional teams to improve business processes through data-driven insights. Support the development of the Annual Operating Plan (AOP) and corporate decks. Required Skills & Qualifications: 6+ years of experience in Operational Analytics within logistics or a related industry. Strong expertise in data analytics, data modeling, and real-time data analysis. Proficiency in Excel, SQL, Macros, VBA, Power BI, and Tableau with hands-on experience. Ability to process and analyze large datasets to extract actionable insights. Experience in AOP planning and business forecasting. Understand the day to day business problem, analyse the problem/issues through data. Get hands dirty get into the detail and come up with the detailed analysis and variance Strong communication skills to present insights effectively to stakeholders. Skills : - Excel, SQL, Macros, VBA, Power BI, and Tableau, AOP planning and business forecasting,Data analytics, data modeling, and real-time data analysis.Excel, SQL, Macros, VBA, Power BI, and Tableau, AOP planning and business forecasting

ROLE DESCRIPTION Role Title: Manager/Senior Manager Retail Operations Role Expectations: Lead & Manage Retail Data Operations - Leads a team to manage the overall retail MIS and data operations. Sales Enablement & Performance Management - Tracks performance against targets, analyses of Key Performance Indicators (KPIs). Work with senior management and cross functions in business strategy planning like forecast, P&L, Annual Operating Plan (AOP) and others. Role Deliverables: Data & Systems Management: Design and execute the data strategy in your responsibility, which encompasses data collection architecture, data governance, and data reporting infrastructure Own development of best-in-class reports, tools and customized reports to avoid data redundancy Provide insights around category & specific consumer behavior derived from Syndicated data sources. Demonstrate an analytical bent of mind in all projects/collaborations Distill actionable insights from the data to offer client ready business recommendations by identifying meaningful customer indicators & trends Actively builds & proliferates category management knowledge & principles Showcase thought leadership; look for ways to integrate better business solutions Develop and implement SOPs and reports and per managements and operational requirements. Design Master data tables and data dictionaries and manage their maintenance to ensure accuracy and readiness of data masters for all retail channels. Oversee backend operations and escalation for SFA and DMS applications. Work with inhouse and third-party Tech team to develop application Interfaces, reports and modules as per business requirement. Team Management Build a professional and reliable team Coach and develop high quality analysts in the team Stakeholder Management Work cross functionally to create and implement reports and data process flows to ensure new initiative or strategic changes performs as intended. Confidently present category and trade dynamics to stakeholders and rationalize techniques and model fit Respond to questions about data and deliver response in user friendly, visually represented format Reporting Relationships: Reporting To Chief Retail Officer Role Specifications: Business Intelligence MIS SFA and DMS Operations Process Planning and Operations Team Leadership MS Office Educational Qualifications: Engineering Graduate or Data & Systems Graduate/ MBA Experience Required: Minimum 7 years in relevant industry / category Location: Mumbai HO

Key Responsibilities: Analyze large volumes of real-time operational data to derive meaningful insights for business decision-making. Build data models to analyze key performance indicators (KPIs) such as productivity, utilization, and fill rates. Prepare targets based on scheduling, demand, and forecast analysis at the unit level with micro-level details. Provide day-level analysis of various KPIs at city and client levels, tracking plan vs. actual performance daily, identifying variance root causes, and offering recommendations. Develop quick dashboards based on ad hoc requirements using Google Sheets, Power BI, or Tableau Prepare monthly operating plans in collaboration with city heads. Work closely with cross-functional teams to improve business processes through data-driven insights. Support the development of the Annual Operating Plan (AOP) and corporate decks. Required Skills & Qualifications: 6+ years of experience in Operational Analytics within logistics or a related industry. Strong expertise in data analytics, data modeling, and real-time data analysis. Proficiency in Python, Excel, SQL, Macros, VBA, Power BI, and Tableau with hands-on data mining experience. Ability to process and analyze large datasets to extract actionable insights. Experience in AOP planning and business forecasting. Understand the day to day business problem, analyse the problem/issues through data. Get hands dirty get into the detail and come up with the detailed analysis and variance Strong communication skills to present insights effectively to stakeholders.

Key Responsibilities: Analyze large volumes of real-time operational data to derive meaningful insights for business decision-making. Build data models to analyze key performance indicators (KPIs) such as productivity, utilization, and fill rates. Prepare targets based on scheduling, demand, and forecast analysis at the unit level with micro-level details. Provide day-level analysis of various KPIs at city and client levels, tracking plan vs. actual performance daily, identifying variance root causes, and offering recommendations. Develop quick dashboards based on ad hoc requirements using Google Sheets, Power BI, or Tableau Prepare monthly operating plans in collaboration with city heads. Work closely with cross-functional teams to improve business processes through data-driven insights. Support the development of the Annual Operating Plan (AOP) and corporate decks. Required Skills & Qualifications: 6+ years of experience in Operational Analytics within logistics or a related industry. Strong expertise in data analytics, data modeling, and real-time data analysis. Proficiency in Python, Excel, SQL, Macros, VBA, Power BI, and Tableau with hands-on data mining experience. Ability to process and analyze large datasets to extract actionable insights. Experience in AOP planning and business forecasting. Understand the day to day business problem, analyse the problem/issues through data. Get hands dirty get into the detail and come up with the detailed analysis and variance Strong communication skills to present insights effectively to stakeholders.

Key Responsibilities: Analyze large volumes of real-time operational data to derive meaningful insights for business decision-making. Build data models to analyze key performance indicators (KPIs) such as productivity, utilization, and fill rates. Prepare targets based on scheduling, demand, and forecast analysis at the unit level with micro-level details. Provide day-level analysis of various KPIs at city and client levels, tracking plan vs. actual performance daily, identifying variance root causes, and offering recommendations. Develop quick dashboards based on ad hoc requirements using Google Sheets, Power BI, or Tableau Prepare monthly operating plans in collaboration with city heads. Work closely with cross-functional teams to improve business processes through data-driven insights. Support the development of the Annual Operating Plan (AOP) and corporate decks. Required Skills & Qualifications: 6+ years of experience in Operational Analytics within logistics or a related industry. Strong expertise in data analytics, data modeling, and real-time data analysis. Proficiency in Excel, SQL, Macros, VBA, Power BI, and Tableau with hands-on experience. Ability to process and analyze large datasets to extract actionable insights. Experience in AOP planning and business forecasting. Understand the day to day business problem, analyse the problem/issues through data. Get hands dirty get into the detail and come up with the detailed analysis and variance Strong communication skills to present insights effectively to stakeholders. Skills : - Excel, SQL, Macros, VBA, Power BI, and Tableau, AOP planning and business forecasting,Data analytics, data modeling, and real-time data analysis.Excel, SQL, Macros, VBA, Power BI, and Tableau, AOP planning and business forecasting